Part 2

Links

Part 1 Youtube Link : www.youtube.com/watch?v=lhzbIIffA64
Part 2 Youtube Link: www.youtube.com/watch?v=qxhFFrCTDxY

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Andrew Ng (Stanford University) is building robots to improve the lives of millions. From autonomous helicopters to robotic perception, Ng’s research in machine learning and artificial intelligence could result one day in a robot that can clean your house.

STAN: Society, Technology, Art and Nature, was Stanford University’s prototype conferecne for TEDxStanford, and showcased some of the university’s top faculty, students, alumni and performers in an intense four-hour event laced with surprising appearances and memorable experiences. STAN, modeled after TED, explored big questions about society, technology, art and nature in a format that invites feedback and engagement.

Links
Stanford University: http://www.stanford.edu/
STAN 2011: http://stan2011.stanford.edu
Andrew Ng: http://ai.stanford.edu/~ang/
Stanford University Channel on YouTube: http://www.youtube.com/stanford

www.youtube.com/watch?v=AY4ajbu_G3k

The post The Future of Robotics and Artificial Intelligence 11068 appeared first on Robotpark ACADEMY.

Artificial intelligence, at the top level, encompasses properties, behaviors, and tasks and involves robots with features such as the ability to:

• Sense physical variables such as light and sound
• Generate high-resolution images (vision system)
• Develop a concept of reality (world model)
• Determine the optimum or most efficient course of action
• Learn from past mistakes
• Create a plan in a given situation, and then follow it through
• Modify a plan as changes occur in the environment
• Carry on two-way conversations with humans or other machines
• Infer solutions based on limited or incomplete information
• Develop new ways to solve old problems
• Search the knowledge base for specific facts or solutions
• Program themselves
• Improve their own designs

Artificial intelligence is difficult to quantify; the most tempting standard is to compare “machine intelligence”with human intelligence. For example, a smart machine can be given an intelligence quotient (IQ) test similar to the tests designed to measure human intelligence. In this interpretation, the level of AI increases as a robot or computer becomes more “human-like” in its reactions to the world around it. Another scheme involves the use of games requiring look-ahead strategy, such as checkers or chess.

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